Research background: Sustainability in organizations is a business approach to creating long-term value by taking into consideration how a given organization operates in the ecological, social, and economic environments. The organizational practices that eventually lead to sustainable development are referred to as sustainable organization management. Purpose of the article: The purpose of this paper is to examine the current trends in sustainable organization management over the time period of 2015?2022, highlight the emerging themes in this study area, and provide guidance for further research in the field. Methods: This paper uses bibliometric meta-data analysis to present an analysis of current trends in sustainable organizational management. An in-depth analysis of a sample result of 619 papers from the Web of Science core collection was conducted with the use of biblioshiny, the R-Programming Language package, and the VoS Viewer software. A global representation of concepts was created using the relational directory network visualization technique based on VoS Viewer software. Keyword cooccurrence relationships were determined; relational techniques were used to visualize bibliographic coupling density to identify thematic areas with little research; and overlay visualization bibliometric techniques were used to identify new and old research themes. Findings & value added: Emerging themes are modeling, tourism, and perceptions. Motor theme areas in the field of study include performance, impact, and management. The paper concludes that the study area of organizational sustainability management is still in its early stages and has great research potential, such as Africa as a study area, despite the fact that there have been few or no research findings. Future research should examine the role of technology and innovation in promoting sustainable practices within organizations and clarify how well an organization can survive global competition.

The growing popularity of smart tourism destinations (STDs) has increased the need to investigate their potential impact on sustainable development. This systematic literature review (SLR) aims to analyse the past achievements and future directions of smart tourism destinations in the context of sustainable development. The review was conducted through a systematic literature review that examined 20 papers using a rigorous framework of the research problem, the primary delimitation of the research, and the definition of the data collection and extraction tools. The review focuses on identifying and analysing the current state of the research on SLRs in smart tourism destinations and their implications for sustainable development. This includes the research questions, methods, journals, dates of publications, and key themes. The review also examines the implications and limitations of SLRs in this field, and it identifies gaps in the literature and areas for future directions. The review found that SLRs have been used to examine the impacts of smart tourism destinations on various aspects of sustainable development, such as economic, social, and environmental aspects. Additionally, the review found that there is a growing interest in smart cities, with a focus on reducing the environmental footprint of tourism and promoting sustainable tourism development. The review also identified the emerging research areas in the literature, such as the achievement of the sustainable development goals, the adoption of green IT, smart energy, and waste management.

The Hanjiang River is one of the major tributaries of the Yangtze River, and the Hanjiang River Basin serves as an important link connecting the western and eastern regions of China. As a significant tourist destination, the development of the tourism industry in the Hanjiang River Basin is of great significance for promoting local economic, social, and environmental sustainability. The study of the spatiotemporal evolution of the ecological efficiency of tourism in the Hanjiang River Basin is beneficial for optimizing the investment of tourism resource elements and promoting ecological protection and high-quality development in the area. In this paper, we used the Super-Efficiency Slacks-Based Measure Model to calculate the tourism ecological efficiency of 12 cities in the Hanjiang River Basin from 2010 to 2019 and measured its spatiotemporal evolution and spatial agglomeration using ArcGIS software. The results show that during the study period, the ecological efficiency of tourism in the Hanjiang River Basin presented a phased characteristic of first rising and then falling over time and a heterogeneity characteristic of decreasing in a downward-middle-upward staircase pattern spatially. In addition, the distribution of tourism ecological efficiency exhibited obvious spatial clustering and dependence, with significant low-level homogenization phenomena, which requires strengthening cooperation and coordination among neighboring cities to achieve more efficient resource utilization and higher-quality tourism product development.

A goal of land change modelers should be to communicate scenarios of future change that show the variety of possible future landscapes based on the consequences of management decisions. This study employs the Markov-FLUS model to simulate land-use changes in Hubei Province in multiple scenarios that consider social, economic, and ecological policies using 18 driving factors, including point-of-interest data. First, the Markov-FLUS model was developed and validated with historical data from 2000 to 2020. The model was then used to simulate land-use changes from 2020 to 2035 in four scenarios: natural development, economic priority, ecological protection, and cultivated land protection. The results show that the Markov-FLUS model effectively simulates the land-use change pattern in Hubei Province, with an overall accuracy of 0.93 for land use simulation in 2020. The Kappa coefficient and FOM index also achieved 0.86 and 0.139, respectively. In all four scenarios, cultivated land remained the primary land use type in Hubei Province from 2020 to 2035, while construction land showed an increasing trend. However, there were large differences in the simulated land use patterns in different scenarios. Construction land expanded most rapidly in the economic priority scenario, while it expanded more slowly in the cultivated land protection scenario. We designed the protection scenario to restrict the rapid expansion of construction land. In the natural development and economic priority scenarios, construction land expanded and encroached on cultivated land and forests. In contrast, in the ecological protection scenario, forests and water areas were well-preserved, and the decrease in cultivated land and the increase in construction land were effectively suppressed, resulting in a large improvement in land use sustainability. Finally, in the cultivated land protection scenario, the cultivated land showed an increasing trend. The spread and expansion of construction land were effectively curbed. In conclusion, the Markov-FLUS model applied in this study to simulate land use in multiple scenarios has substantial implications for the effective utilization of land resources and the protection of the ecological environment in Hubei Province.

This paper aims to answer four fundamental questions: (1) What scientific journals have published papers on the application of the Technology Acceptance Models (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) in tourism and hospitality research? (2) In what context have the TAM and UTAUT models emerged in tourism and hospitality research? (3) Which types of TAM and UTAUT have attracted interest in tourism and hospitality research? (4) What methodologies are used in the applications of TAM and UTAUT in tourism research? The design of this study corresponds to establishing the framework for future research on TAM and UTAUT in tourism by outlining what is currently known. Based on 40 papers published between 2017 and 2022, the methodology consists of an analysis of studies that have been conducted in tourism and hospitality using technology adoption theories (TAM and UTAUT). A systematic literature review is the ideal approach for the current state with a focus on the application of the theories of TAM and UTAUT models. Based on an analysis of 40 studies, mobile applications and social media marketing emerged as the most prevalent constructs. This paper proposes a summary of potential paths for future studies, offering possibilities and guidelines.